Antonio Remiro-Azócar
Antonio Remiro-Azócar

Principal Scientist

About Me

I am a Principal Scientist within the External Collaboration and Experimentation (Experimental and Translational Medicine) area at Novo Nordisk. My expertise lies in quantitative evidence synthesis, data fusion, HTA and observational science, and in driving external engagement and collaboration. I am currently developing statistical and causal inference methods for the synthesis of evidence across different data sources. From December 2025, I have joined the Department of Statistical Science at University College London as an Honorary Research Fellow.

I have ample experience as a statistician, researcher and statistical consultant, providing support to the pharmaceutical, biotechnology, and healthcare consultancy sectors. Prior to my current role, I was a statistical methodologist at Novo Nordisk and the lead statistician for health technology assessment at Bayer Pharmaceuticals. Prior to that, I was an independent contractor providing statistical support to contract research organizations such as IQVIA and ICON plc, and public bodies such as SickKids.

See my Google Scholar profile for an updated list of publications.

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Interests
  • Biostatistics
  • Causal Inference
  • Evidence Synthesis
  • Data Fusion
  • Health Technology Assessment
Education
  • PhD Statistical Science

    University College London

  • MRes Financial Computing

    University College London

  • MSc Machine Learning

    University College London

  • BSc Mathematics and Physics

    University of Bath

Research

My research lies on the interface between statistics and health technology assessment, involving both methodological and applied problems. My primary interests are the development of statistical methodology to compare treatments in the absence of head-to-head clinical trials, adjusting for differences in patient populations and overcoming limited access to subject-level data.

Current interests: indirect treatment comparisons, covariate adjustment, transportability, estimands

Featured Publications
Recent Publications
(2026). Estimands and their implications for evidence synthesis for oncology: A simulation study of treatment switching in meta-analysis. 17(1), Research Synthesis Methods.
(2025). Marginal and Conditional Summary Measures: Transportability and Compatibility Across Studies. In Wiley StatsRef: Statistics Reference Online.
(2025). Can Estimands Support Aligned Evidence Generation for EU HTA? Reflections on Their Role in Joint Clinical Assessments, PICO Alignment, and Beyond. In Value in Health, 28(12).
(2025). Incorporating estimands into meta-analyses of clinical trials.
Recent Talks